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DeepSeek R1 Distill Qwen 32B vs Gemini 2.0 Flash
Comprehensive side-by-side LLM comparison
DeepSeek R1 Distill Qwen 32B leads with 11.1% higher average benchmark score. Gemini 2.0 Flash offers 800.8K more tokens in context window than DeepSeek R1 Distill Qwen 32B. Both models have similar pricing. Gemini 2.0 Flash supports multimodal inputs. Overall, DeepSeek R1 Distill Qwen 32B is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-R1-Distill-Qwen-32B was created as a larger distilled variant, designed to transfer more of DeepSeek-R1's reasoning capabilities into a Qwen-based foundation. Built to serve applications requiring enhanced analytical depth, it represents a powerful option in the distilled reasoning model family.
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Gemini 2.0 Flash was developed as the next generation of Google's fast multimodal model, designed to provide improved performance while maintaining the speed and efficiency that defines the Flash family. Built with enhanced reasoning and generation capabilities, it serves applications requiring both quality and responsiveness.
1 month newer
Gemini 2.0 Flash
2024-12-01
DeepSeek R1 Distill Qwen 32B
DeepSeek
2025-01-20
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek R1 Distill Qwen 32B
Input:$0.12
Output:$0.18($0.20 cheaper)
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Gemini 2.0 Flash
Input:$0.10
Output:$0.40
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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DeepSeek R1 Distill Qwen 32B
Average Score:59.7%(+11.1%)
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Gemini 2.0 Flash
Average Score:48.6%
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Knowledge Cutoff
Training data recency comparison
Gemini 2.0 Flash
2024-08-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek R1 Distill Qwen 32B
1 providers
DeepInfra
Throughput: 37 tok/s
Latency: 0.65ms
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Gemini 2.0 Flash
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DeepSeek R1 Distill Qwen 32B
Avg Score:59.7%(+11.1%)
Providers:1
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Gemini 2.0 Flash
Avg Score:48.6%
Providers:1